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Snowflake Engineer Category: Analytics and Emerging Digital Technologies
Main location: United States, Texas, Houston
Position ID:J1026-1951
Employment Type: Full Time
Position Description: Position Description
This is a chance to step into a Senior Consultant role on a modern cloud data platform with a clear, supported path to becoming a Data Architect. You'll be hands on with Snowflake from day one while being deliberately mentored into architecture: design reviews, solution patterns, stakeholder conversations, and technical decision making.
This role is located in Houston, Tx but can be performed in a hybrid work model.
What makes this role stand out:
. Defined growth path: Structured mentorship from experienced architects, with increasing ownership of design decisions over time.
. Modern technology stack: Work with current Snowflake capabilities (Snowpipe, Streams and Tasks, Dynamic Tables, Snowpark, data sharing, and governance features) across major cloud platforms.
. Variety and visibility: Consulting exposure across industries and problem types, so your skills broaden quickly.
. Collaborative team culture: Work alongside engineers, architects, analysts, and data scientists who share knowledge openly and value curiosity.
. Learning support: Access to SnowPro certifications, training time, and community opportunities.
Future Duties and Responsibilities
. Design, build, and optimize scalable data pipelines (batch and near real time) on Snowflake using SQL, Python, Snowpipe, Streams, Tasks, and Dynamic Tables.
. Develop data models (dimensional, data vault, or layered raw/curated/consumption patterns) that support analytics and reporting.
. Build transformation and orchestration workflows using tools such as dbt, Airflow, or Azure Data Factory.
. Apply data governance and security practices, including role based access control, masking policies, row level security, lineage, and data quality.
. Tune query performance and manage cost through warehouse sizing, clustering, caching, and resource monitors.
. Implement CI/CD and DevOps practices for data workloads (Git, automated testing, infrastructure as code, deployment pipelines).
. Participate in solution design sessions and architecture reviews, progressively leading design for components and then full solutions.
. Translate business requirements into technical designs and communicate trade offs clearly to technical and non technical stakeholders.
. Produce clear technical documentation, including design documents and architecture diagrams.
. Mentor junior engineers through code reviews and knowledge sharing.
. Contribute to reusable frameworks, accelerators, and best practice standards for the wider practice.
. Work with the team on a personal development plan toward an architect role, taking on stretch assignments such as pre sales support, technical assessments, and platform roadmaps.
Required qualifications to be successful in this role
Essential (must have):
. 4+ years of experience in data engineering, with hands on Snowflake experience in production environments.
. Strong proficiency in SQL, including complex transformations and performance tuning.
. Proficiency in Python (including Snowpark or similar) for data processing and automation.
. Hands on experience with Snowflake features such as Snowpipe, Streams and Tasks, Time Travel, cloning, and data sharing.
. Experience with Snowflake security and governance (RBAC, masking, access controls).
. Experience working on at least one major cloud platform (Azure, AWS, or GCP).
. Experience building production grade ETL/ELT pipelines, including batch and near real time ingestion.
. Working knowledge of data modeling and data warehousing concepts.
. Experience with Git and CI/CD practices.
. Strong communication skills and the ability to work directly with clients and stakeholders.
. Demonstrated interest in and aptitude for growing into an architecture role.
Desired (nice to have):
. SnowPro certifications (Core, Advanced Data Engineer, or Advanced Architect).
. Cloud certifications (Azure, AWS, or GCP data track).
. Experience with dbt and modern transformation frameworks.
. Experience with Dynamic Tables, Snowpark, and Snowflake cost governance.
. Infrastructure as code experience (Terraform or similar).
. Exposure to data governance, security, and compliance frameworks.
. Experience with BI tools and semantic layers.
. Prior consulting or client facing delivery experience.
. Experience leading or mentoring junior team members.
. Familiarity with data migration projects (e.g., legacy warehouse to Snowflake).
#LI-SG2
#DICE
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $98,100.00 $159,800.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
Skills: - Cloud Data Platform Design
- Performance Tuning
- Python
- Snowflake
